mcp-gsc vs memory
Side-by-side comparison to help you pick between these two MCP servers.
mcp-gsc by AminForou | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 843 | ★ 85,748 |
| 30d uses | — | — |
| Score | 55 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsseoWeb Scraping | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 1 mo ago | this month |
mcp-gsc · Summary
MCP server connecting Google Search Console to AI assistants for SEO analysis through natural language conversations.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcp-gsc · Use cases
- Analyze SEO performance trends and identify top-performing search queries
- Check indexing status and crawl information for specific pages
- Manage sitemaps and submit new ones to Google
- Compare performance metrics between different time periods
memory · Use cases
- Personalizing AI assistant interactions by remembering user preferences, history, and relationships
- Building context-aware chat applications that maintain conversation history
- Creating knowledge bases that persist across AI model sessions
mcp-gsc · Install
Installation
Option A — uvx (Recommended)
# 1. Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
source $HOME/.local/bin/env
echo 'source $HOME/.local/bin/env' >> ~/.zshrc**Claude Desktop Config (OAuth)**:
{
"mcpServers": {
"gscServer": {
"command": "/FULL/PATH/TO/uvx",
"args": ["mcp-search-console"],
"env": {
"GSC_OAUTH_CLIENT_SECRETS_FILE": "/full/path/to/client_secrets.json"
}
}
}
}Option B — Clone
git clone https://github.com/AminForou/mcp-gsc.git
cd mcp-gsc
uv venv .venv
uv pip install -r requirements.txtConfigure with your Google API credentials first (detailed steps in README).
memory · Install
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}VS Code
Use one-click installation buttons or manually configure in .vscode/mcp.json:
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Docker
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}